Research on Bearing Fault Diagnosis Method for Varying Operating Conditions Based on Spatiotemporal Feature Fusion

Jin Wang, Yan Wang, Junhui Yu, Qingping Li, Hailin Wang, Xinzhi Zhou

Open source

DOI
10.3390/s25123789
Published
2025-06-17
Container
Sensors
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/s25123789,
  title = {Research on Bearing Fault Diagnosis Method for Varying Operating Conditions Based on Spatiotemporal Feature Fusion},
  author = {Jin Wang and Yan Wang and Junhui Yu and Qingping Li and Hailin Wang and Xinzhi Zhou},
  year = {2025},
  journal = {Sensors},
  doi = {10.3390/s25123789},
  url = {https://doi.org/10.3390/s25123789}
}

RIS

TY  - JOUR
TI  - Research on Bearing Fault Diagnosis Method for Varying Operating Conditions Based on Spatiotemporal Feature Fusion
AU  - Jin Wang
AU  - Yan Wang
AU  - Junhui Yu
AU  - Qingping Li
AU  - Hailin Wang
AU  - Xinzhi Zhou
PY  - 2025
JO  - Sensors
DO  - 10.3390/s25123789
UR  - https://doi.org/10.3390/s25123789
ER  - 

APA

Wang, J., Wang, Y., Yu, J., Li, Q., Wang, H., & Zhou, X. (2025). Research on Bearing Fault Diagnosis Method for Varying Operating Conditions Based on Spatiotemporal Feature Fusion. Sensors. https://doi.org/10.3390/s25123789

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